The SLAMTEC Aurora S is a next-generation AI-integrated spatial perception system that combines visual perception, inertial navigation, and SLAMTECs proprietary deep learning vSLAM technology. With its compact design, high integration, and plug-and-play functionality, it enables high-precision 3D mapping, perception, and spatial positioning in both indoor and outdoor environments. It is widely applicable in embodied intelligence, industrial automation, digital twins, and low-speed autonomous driving.
Features
Core Features
- SLAMTEC AI Deep Learning Engine for superior processing
- Provides real-time indoor and outdoor 3D mapping and positioning capabilities
- 6DOF Spatial Localization: Delivers high-precision real-time position and attitude data
- End-to-End Stereo Depth Estimation: Generates dense depth data in real time
- AI Object Recognition and Segmentation: Produces real-time object segmentation maps
- Expandable LiDAR Support: Compatible with higher-precision 2D mapping
Supporting Software & Development Resources
- Equipped with Aurora Remote UI customized interaction software for scene reconstruction and digital twin implementation
- Comprehensive Aurora Remote SDK available, supporting C++, ROS1/ROS2, and Python
- Enables rapid secondary development, custom application building, and accelerated downstream product deployment
Feature Overview
- AI Deep Learning vSLAM Engine
- Integrated design with compact form factor
- Out-of-the-box functionality with no external dependencies
- Indoor/outdoor versatility with strong environmental adaptability
Technical Specifications
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Core Parameter
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Specific Specification
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Maximum Mapping Area
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>1,000,000 m
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Relocalization
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Supports global relocalization, accuracy 5cm
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Map Management
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Supports map continuation, loading and saving
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Mapping & Localization Mode
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Primarily based on deep learning vSLAM, compatible with LiDAR fusion
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Multi-Sensor Synchronization
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Hardware time synchronization
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Camera Specification
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Binocular fisheye, 60mm baseline, FOV 180, global shutter, RGB
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Camera Frame Rate
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Typical 15Hz, 10/30Hz customizable
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Dense Depth Camera Function
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Adopts end-to-end deep learning solution; supports strong light & weak texture; detection rate >90%
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AI Object Recognition
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Supports 18 outdoor and 80 indoor scenes; expandable on demand
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2D Map Resolution (with LiDAR)
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Adjustable: 2cm/5cm/10cm
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LiDAR Measurement Distance
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Maximum distance: 40m @70% reflectivity
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Power Consumption
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10W (typical), excluding LiDAR
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Operating Temperature
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-20C ~ 50C
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Hardware Overview
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No.
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Category
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Specification
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Parameter/Description
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1
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Power Input
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XT30PW-M
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DC 9~24V
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2
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Power Input
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USB Type-C
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Supports USB PD3.0 protocol
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3
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Expansion Port
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USB 3.1 Gen1
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Supports OTG mode (Device/Host)
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4
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I/O Port
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SH1.0-6PWB
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Used for LiDAR connection
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5
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Data Port
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Ethernet RJ-45
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Gigabit Ethernet (1000BASE-T)
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Application Scenarios
Technical Documents
Aurora_S_Datasheet.pdfAurora_S_User_Manual.pdfOfficial SLAMTEC Support & SDK
Part List
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Aurora S A2M2 Unit
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x1
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Power Adapter
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x1
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Accessory Kit
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x1
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FAQ
What makes Aurora S different from traditional SLAM systems?
Aurora S integrates visual + inertial navigation with deep learning vSLAM, offering significantly higher precision and robustness compared to conventional laser-only or basic visual SLAM solutions.
Is it suitable for high-intensity outdoor use?
Yes. Aurora S is engineered for both indoor and outdoor environments, featuring strong adaptability to lighting changes and complex terrains.
What development platforms are supported?
The system provides full support for C++, ROS1/ROS2, and Python, making it a versatile choice for AI robotics and industrial R&D.
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